Alternatives and similar repositories for calibr8

Users that are interested in calibr8 are comparing it to the libraries listed below

• pymc-devs / sunode
  Solve ODEs fast, with support for PyMC
  ☆114Updated last year
• michaelosthege / pyrff
  pyrff: Python implementation of random fourier feature approximations for gaussian processes
  ☆28Updated 2 weeks ago
• SystemsBioinformatics / stochpy
  StochPy is a versatile stochastic modeling package which is designed for stochastic simulation of molecular control networks
  ☆41Updated last month
• StochSS / GillesPy2
  Modeling toolkit for biochemical simulation
  ☆75Updated 6 months ago
• MilesCranmer / python_citations
  Bibtex for various Python science and machine learning software
  ☆33Updated 2 years ago
• eth-cscs / abcpy
  ABCpy package
  ☆115Updated last year
• ICB-DCM / pyABC
  distributed, likelihood-free inference
  ☆216Updated last month
• ciemss / pyciemss
  Causal and probabilistic reasoning with continuous time dynamical systems
  ☆19Updated 3 weeks ago
• sciris / sciris
  Fast, flexible tools to simplify scientific Python
  ☆39Updated 3 weeks ago
• statease / dexpy
  Design of Experiments in Python
  ☆28Updated 4 years ago
• yaglm / yaglm
  A python package for penalized generalized linear models that supports fitting and model selection for structured, adaptive and non-conve…
  ☆58Updated 2 years ago
• pints-team / pints
  Probabilistic Inference on Noisy Time Series
  ☆238Updated 5 months ago
• MathOnco / Curvogram
  Method for plotting histograms on a curve using a West Transform
  ☆10Updated 3 years ago
• DiffusionMapsAcademics / pyDiffMap
  Library for diffusion maps
  ☆45Updated 3 years ago
• jmschrei / torchegranate
  A temporary repository hosting a pomegranate re-write using PyTorch as the backend.
  ☆72Updated 2 years ago
• eigenfoo / littlemcmc
  A lightweight and performant implementation of HMC and NUTS in Python, spun out of the PyMC project.
  ☆57Updated last year
• andykitchen / numpyo-examples
  Numpyro examples in Python notebooks
  ☆11Updated 4 years ago
• ireis / PRF
  Probabilistic Random Forest: A machine learning algorithm for noisy datasets
  ☆130Updated last year
• ziatdinovmax / NeuroBayes
  Fully and Partially Bayesian Neural Nets
  ☆75Updated 3 months ago
• mjhajharia / deprecat
  Deprecate away!!
  ☆16Updated last year
• jeremiecoullon / SGMCMCJax
  Lightweight library of stochastic gradient MCMC algorithms written in JAX.
  ☆104Updated last year
• jmbr / diffusion-maps
  Fast computation of diffusion maps and geometric harmonics in Python. Moved to https://git.sr.ht/~jmbr/diffusion-maps
  ☆42Updated 4 years ago
• T-Flet / GPy-ABCD
  A basic implementation with GPy of an Automatic Bayesian Covariance Discovery (ABCD) system
  ☆15Updated last year
• Stefan-Endres / shgo
  Simplicial Homology Global Optimization
  ☆52Updated 4 months ago
• andgoldschmidt / derivative
  Optimal numerical differentiation of noisy time series data in python.
  ☆63Updated 3 weeks ago
• LRydin / KramersMoyal
  kramersmoyal: Kramers-Moyal coefficients for stochastic data of any dimension, to any desired order
  ☆75Updated 7 months ago
• SamDuffield / mocat
  All things Monte Carlo, written in JAX.
  ☆31Updated 2 years ago
• arm61 / uravu
  A straightforward Bayesian data fitting library
  ☆27Updated 9 months ago
• ericmjl / pyds-cli
  Helping you manage your data science projects sanely.
  ☆49Updated last week
• adonath / gmmx
  Gaussian Mixture Models in Jax
  ☆21Updated 3 weeks ago